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Reply drafts for product and store reviews in one consistent voice, whether shoppers bought online, in a branch or by click-and-collect.
Retail reviews come from everywhere: product pages, branch visits, click-and-collect pickups and delivery orders. Keeping replies consistent across all of them is hard. This agent drafts every reply in one brand voice, using your catalog and policies so each answer fits the item and how it was bought. Returns and loyalty rules are quoted correctly, and head office approves every draft.

AI Review Response Agent for Retail drafts replies to Google, product and store reviews in one consistent voice. It uses your catalog and policies so each reply fits the item and how it was bought. Its template covers product reviews, store visits, click-and-collect and delivery complaints, and stock comments. Every draft waits for approval.
When each branch answers reviews in its own way, shoppers get mixed messages about returns, stock and loyalty, and the brand feels inconsistent. Many reviews simply go unanswered. This edition drafts every reply from one brand profile and your written policies, so a branch review and an online review read like the same company wrote them. Your approver keeps control of what is posted. The Scope Card sets the voice, formats, destination and testing before you order, so there are no surprises later.
The agent drafts replies to product and store reviews in one consistent voice for your team to approve. Approved replies keep every branch sounding like the same retailer.
Drafts use your catalog and policies, so each reply fits the item and how it was bought. Retail templates cover stock questions, click-and-collect and loyalty.
Retail review categories sort each review as it arrives, by topic and channel. Your team sees what customers say across stores and online, and approves every reply.
Your portal lists these the moment you order. Delivery starts the working day after everything is in and your access is checked.
| Option | Delivery time | Price |
|---|---|---|
| Standard | 20–30 working days | $2,500 |
| Express | 15–25 working days | $2,950 |
| Rush | 10–20 working days | $3,400 |
Before you start: Record each branch's reply rate and how many reviews went unanswered last month.
These are things to track, not promised results. Outcomes depend on your data, your team and your market.
You pay for the build once. Running costs are roughly $20 to $150 a month in AI model usage in your own accounts, moving with how many product and store reviews arrive. POS, inventory, ecommerce platform and CRM subscriptions stay as they are.
AI usage during build and testing is billed to your accounts too.
Ask about running costsA second destination, replies in more than one language, or more than three formats are outside the Scope Card. Add a note at checkout for a written Change Quote; nothing extra starts until you accept it.
Request a custom versionMonthly maintenance covers monitoring, fixes and change hours, such as a new returns window, a loyalty scheme update or a new store opening. It starts after the 30 days of support.
$249/mo (the minimum fee, includes 2 change hours)
Optional. Starts after the post-launch support period. Cancel any month.
How maintenance works| Do it yourself with a SaaS tool | Hire a custom agency | Upmark Labs | |
|---|---|---|---|
| Price | A review platform charges monthly by order volume | An agency bills reply writing on a retainer | Ours is one fixed price, shown before you buy |
| Consistency | Templates differ by channel | Depends on the writer | Ours keeps one voice across stores and online |
| Policies | Replies ignore your returns and loyalty rules | Checked by hand | Ours drafts from your written policies |
| Delivery | Fast to install, replies still generic | Weeks to brief | Ours has a fixed delivery time shown before you buy, with faster options |
Yes, when your ecommerce platform is the connected destination and the review is linked to a product. The draft can use catalog details, such as the product name, and order details, such as click-and-collect. Without that connection, replies stay accurate to your policies but more general.
All drafts come from one brand profile and one set of reference replies, and they are approved by the same person or team. A review of a city-center branch and one of your online store therefore read alike. If branches need local details, such as opening hours or addresses, the Multi-Location Setup add-on covers them.
Yes, from the written policies you provide. A reply about a return, a click-and-collect delay or missing loyalty points uses your wording, not a guess. When a policy changes, update it through monthly maintenance, and later drafts follow the new version.
It adds the Retail template. Its review types for shoppers are product reviews, store visit feedback, click-and-collect and delivery complaints, and stock comments. It is tested on retail scenarios. The base AI Review Response Agent drafts replies to Google and platform reviews for any business. This edition suits retailers with branches as well as a website.
Delivery follows a fixed schedule shown before you buy, with express and rush options if you want replies running before a peak trading period. Store access, policies, catalog data and past replies are due within 72 hours of ordering, and late items push the delivery date back. You approve 25 sample drafts covering product and branch reviews before launch.
Roughly $20 to $150 a month in AI model usage in your own accounts, moving with review volume across stores and online. Retailers with many products and branches sit higher in that range. Monthly maintenance is optional. Its change hours cover things like a new returns window, a loyalty scheme update or a new store opening.
No. Every draft lands in your one destination and waits for the approver you name, who can edit, approve or discard it. Posting stays a deliberate step, which matters when a reply mentions a refund, a store team or a shopper's loyalty balance.
Order AI Review Response Agent for Retail and product and store reviews get drafts in one consistent voice that follow your returns and loyalty rules, approved before posting, from a fixed delivery date.

Analyses product reviews for quality issues and product insights.

Turns positive reviews into approved marketing assets and social proof requests.

Runs post-purchase messaging for onboarding, cross-sell and review requests.